CN107451417B - Dynamic electrocardiogram analysis intelligent diagnosis system and method - Google Patents
Dynamic electrocardiogram analysis intelligent diagnosis system and method Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
Abstract
The invention provides a dynamic electrocardiogram analysis intelligent diagnosis system and a method, comprising the following steps: the system comprises a database module, a template module and an analysis module; the database module is used for storing the electrocardio data of the detected human body and the basic information of the detected human body through a plurality of leads; the template module is used for defining a plurality of case templates according to different symptoms, and each case template is provided with a plurality of constant parameter values; the analysis module is used for carrying out intelligent full-lead analysis on the detected electrocardiogram data to obtain a plurality of input variable values, then comparing and operating each input variable value with a corresponding constant parameter value in each case template, if each operation result in one case template is true, outputting a text conclusion, and then generating an electrocardiogram diagnosis report through the text conclusion. The invention can greatly improve the diagnosis speed, reduce the labor intensity of doctors, improve the accuracy of diagnosis conclusions and reduce the omission of the diagnosis conclusions.
Description
Technical Field
The invention relates to the technical field of electrocardiograms, in particular to a dynamic electrocardio-analysis intelligent diagnosis system and a dynamic electrocardio-analysis intelligent diagnosis method.
Background
Nowadays, electrocardiographic examination is one of four general examinations in clinical and health physical examinations. Because the electrocardiographic examination is nondestructive, simple and rapid, the electrocardiographic examination is widely applied clinically, becomes a most important means for diagnosing cardiovascular diseases, and has important effects on diagnosing heart rate variation, myocardial ischemia, myocardial infarction and the like. However, because the sick electrocardiograms have a variety of types and great variations, the electrocardiograms of different patients with the same pathology and even the electrocardiograms of the same patient have great differences, and doctors are required to have abundant knowledge and accumulate a great deal of clinical experience to accurately judge the sick electrocardiograms. In addition, the monitoring time of the electrocardiogram, particularly the dynamic electrocardiogram, is long, the data volume is large, and doctors cannot check the electrocardiographic waveforms one by one; and if the doctor is engaged in the recognition work of a large number of graphs for a long time, the doctor is easy to fatigue and is easy to miss detection and make mistakes. At present, an electrocardiogram diagnosis report is generally manually edited by a doctor, and in order to release heavy and tedious massive electrocardiogram data processing for medical staff, an electrocardiogram analysis intelligent diagnosis system is urgently needed to be developed.
Disclosure of Invention
The object of the present invention is to solve at least one of the technical drawbacks mentioned.
Therefore, the invention aims to provide a dynamic electrocardiogram analysis intelligent diagnosis system and method, which can intelligently generate a diagnosis report, allow a doctor to modify and edit, shorten the diagnosis time of the doctor, reduce the omission probability and improve the overall diagnosis efficiency of a patient.
In order to achieve the above object, the present invention provides an intelligent diagnosis system for dynamic electrocardiographic analysis, comprising: the system comprises a database module, a template module and an analysis module;
the database module is used for storing the electrocardio data of the human body detected through a plurality of leads and the basic information of the human body to be detected, classifying and storing the electrocardio data according to the basic information of the human body to be detected, performing user-defined condition classification retrieval on the electrocardio data through a case characteristic engine, performing multi-condition or fuzzy search retrieval on the electrocardio data through a case search engine, embodying the disease in a diagnosis conclusion if the electrocardio characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, and performing batch import or export on the electrocardio data through a batch import or export function;
the template module is used for defining a plurality of case templates according to different symptoms, each case template is provided with a plurality of constant parameter values, and the constant parameter values are stored as 16-system numbers;
the analysis module is used for carrying out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminating interference leads and no-signal leads and generating an hour scatter diagram, a time scatter diagram and an electrocardiogram; analyzing all leads or single leads of the electrocardiogram data to obtain analysis parameters of the electrocardiogram data, wherein the analysis parameters at least comprise relative position of QRS waves, heart rate and ST-segment voltage, storing the analysis parameters to different addresses, retrieving variable values obtained by each lead according to parameter relations corresponding to different diseases, comparing each input variable value with a corresponding constant parameter value in each case template for operation, outputting a text conclusion of a related case if each operation result in one case template is true, and generating an electrocardiogram diagnosis report through the text conclusion, wherein the electrocardiogram diagnosis report comprises the case if the analyzed electrocardiogram data meets the parameter conditions of the case template;
in addition, the analysis template is also used for receiving an input instruction of the display terminal and making corresponding modification on the hour scatter diagram, the time scatter diagram, the electrocardiogram and the electrocardiogram diagnosis report;
the analysis module can analyze a single lead and also can analyze a plurality of or all leads simultaneously; all case templates are synchronously analyzed through the full template instantaneous overlapping function, finally all case overlapping conditions are displayed at a case report terminal, corresponding characteristic parameters in the case templates can be adjusted through template matching adjusting shafts, and classification templates are refined.
Further, the analysis module carries out lead analysis on the electrocardiographic data of the detected lead to obtain different analysis parameters, the different analysis parameters are stored in different addresses, input variable values of the different addresses are compared with constant parameter values in the case module, and finally a corresponding diagnosis result is obtained, wherein the input variable values at least comprise effective heart rate number, total sinus heart rate, sinus heart rate percentage, sinus average heart rate, sinus fastest heart rate, sinus slowest heart rate, RR fastest heart rate, RR slowest heart rate, RR interval, longest rest RR interval, sinus tachycardia array number, sinus bradycardia array number and sinus tachycardia total duration;
furthermore, the case template at least comprises a sporadic atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an occasional bigeminal template and an occasional trigeminal template.
Furthermore, when the analysis module performs intelligent full-lead analysis, each lead is simultaneously analyzed synchronously, and the analysis result is stored according to the lead number in a classified manner, wherein the number of the full leads is 12 leads or 18 leads.
Furthermore, the electrocardiogram diagnosis report generated by the analysis module has the functions of self-defining editing, programmable automatic conclusion function, switching segment diagram display lead quantity and simultaneously applying to all segment diagrams.
The invention also provides a dynamic electrocardio-analysis intelligent diagnosis method, which comprises the following steps:
step S1, defining a plurality of case templates in the template module according to different symptoms, wherein each case template is provided with a plurality of constant parameter values;
step S2, detecting the electrocardio change of human body through a plurality of leads, transmitting the detected electrocardio data and the basic information of the detected human body to a database module for storage, carrying out self-defined condition classification retrieval on the electrocardio data through a case characteristic engine, carrying out multi-condition or fuzzy search retrieval on the electrocardio data through a case search engine, if the electrocardio characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, embodying the disease in the diagnosis conclusion, and carrying out batch import or export on the electrocardio data through a batch import or export function;
step S3, the analysis module carries out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminates interference leads and no-signal leads, and generates an hour scatter diagram, a time scatter diagram and an electrocardiogram; analyzing all leads or single leads of the electrocardiogram data to obtain analysis parameters of the electrocardiogram data, storing the analysis parameters into different addresses, retrieving variable values obtained by all leads according to parameter relations corresponding to different diseases, comparing and operating each input variable value with a corresponding constant parameter value in each case template, outputting text conclusions of related cases if each operation result in one case template is true, and generating an electrocardiogram diagnosis report through the text conclusions, wherein the electrocardiogram diagnosis report comprises the case if the analyzed electrocardiogram data meets the parameter conditions of the case templates;
in step S4, the user modifies the hour scattergram, the time scattergram, the electrocardiogram diagnosis report, and the case template through the display terminal.
Further, the input variable values comprise at least effective heart rate, total sinus heart rate, percentage sinus heart rate, sinus mean heart rate, fastest sinus heart rate, slowest sinus heart rate, fastest RR heart rate, slowest RR heart rate, longest RR interval, longest asystole RR interval, sinus tachycardia array number, sinus bradycardia array number, total sinus tachycardia duration.
Furthermore, the case template at least comprises a sporadic atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an occasional bigeminal template and an occasional trigeminal template.
Further, in step S3, after the analysis module performs comparison and operation, output text conclusions of the plurality of case templates are obtained, and the electrocardiogram diagnosis report displays the output text conclusions of the plurality of case templates in an overlapping manner; the input statement of the comparison operation is composed of { input variable value operand constant parameter value output text conclusion }.
The electrocardiogram is classified according to heart beat types and is divided into a plurality of case templates, a plurality of input variable values are obtained according to the electrocardiogram data acquired by full leads, and each input variable value is compared with a corresponding constant parameter value in each case template to finally generate an electrocardiogram diagnosis report. The doctor can also modify and edit the electrocardiogram diagnosis report given by the system, thereby greatly improving the diagnosis speed, reducing the labor intensity of the doctor, improving the accuracy of the diagnosis conclusion, reducing the omission of the diagnosis conclusion, leading the diagnosis conclusion to be more accurate and more comprehensive and improving the overall diagnosis efficiency of the patient.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block diagram of the structural connection of the dynamic ECG analysis intelligent diagnosis system of the present invention;
FIG. 2 is a diagram illustrating a comparison operation determination process according to the present invention;
FIG. 3 is a flow chart of the dynamic ECG analysis intelligent diagnosis method of the present invention;
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The invention provides a dynamic electrocardiogram analysis intelligent diagnosis system, which is shown by referring to the attached figure 1 and comprises the following components: database module 1, template module 2, analysis module 3.
The database module 1 is used for storing the electrocardio data of the detected human body through a plurality of leads and the basic information of the detected human body, classifying and storing the electrocardio data according to the basic information of the detected human body, performing user-defined condition classification retrieval on the electrocardio data through a case characteristic engine, performing multi-condition or fuzzy search retrieval on the electrocardio data through a case search engine, if the electrocardio characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, embodying the disease in a diagnosis conclusion, and performing batch import or export on the electrocardio data through a batch import or export function.
The template module 2 is used for defining a plurality of case templates according to different symptoms, and each case template is provided with a plurality of constant parameter values. The case template at least comprises an accidental atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an accidental dual-rhythm template and an accidental triple-rhythm template. The template module synchronously superimposes all case templates through a full-template instantaneous superimposing function, instantaneously checks the synchronous superimposing condition of all case templates through the display terminal, and performs refined classification adjustment on the case templates through the template matching adjusting shaft.
The template module is used for defining a plurality of case templates according to different symptoms, each case template is provided with a plurality of constant parameter values, and the constant parameter values are stored as 16-system numbers, so that data storage and calculation are facilitated.
The analysis module 3 is used for carrying out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminating interference leads and no-signal leads, and generating an hour scatter diagram, a time scatter diagram and an electrocardiogram; and performing lead analysis on the electrocardiographic data of the detected leads to obtain different analysis parameters, wherein the analysis parameters at least comprise relative position of QRS waves, heart rate and ST-stage voltage, storing the analysis parameters to different addresses, retrieving variable values obtained by the leads according to parameter relations corresponding to different diseases, comparing and operating each input variable value with a corresponding constant parameter value in each case template, outputting a text conclusion if each operation result in one case template is true, and generating an electrocardiographic diagnosis report through the text conclusion, wherein the electrocardiographic diagnosis report comprises the case if the analyzed electrocardiographic data meets the condition of the case template parameters, and the method comprises the steps of obtaining the electrocardiogram diagnosis report and outputting the electrocardiogram diagnosis report.
When the analysis module carries out intelligent full-lead analysis, each lead is synchronously analyzed, and the analysis result is classified and stored according to the lead number, wherein the number of the full leads is 12 leads or 18 leads.
Specifically, the method comprises the steps of conducting early-stage lead electrocardio analysis, and determining the P wave position, the QRS-T wave group position, the R-R interval, the atrial rate and the ventricular rate of electrocardiosignals. The ranges of the parameters are set according to physiological parameters required to be met by different symptoms, sentences are compiled according to the grammar of the automatic conclusion, the conclusion is finally obtained, the electrocardiosignals are converted into the grammar compiling sentences of the automatic conclusion, the operation flow is simplified, the operation speed is accelerated, and the conclusion is quickly output.
The input statement of the comparison operation is composed into { input variable value operation symbol constant parameter value output text conclusion };
the input variable values include: effective heart beat number, total sinus heart beats, percentage sinus heart beats, sinus mean heart rate, sinus fastest heart rate, sinus slowest heart rate, RR fastest heart rate, RR slowest heart rate, longest RR interval, longest asystole RR interval, sinus tachycardia array number, sinus bradycardia array number, total sinus tachycardia duration, and the like.
The output text conclusions are as follows: sinus rhythm, sinus arrhythmia, sinus bradycardia, atrial premature beat, sporadic bigeminal rhythm, sporadic trigeminal rhythm, paroxysmal tachycardia, and the like.
Output conditions are as follows: the variable is compared with the constant, and if the result is true, a text conclusion is output.
If a plurality of operations are included, the text is output when the result of each operation is true.
The grammar rules are as follows:
examples { &040> >000070 "sinus rhythm" }
And 040, wherein the percentage of the sinus heart rate of the variable is represented, and the value corresponding to the specific variable can be selected through a list box in the software.
If the sinus rhythm percentage is greater than 70%, a diagnosis of sinus rhythm may occur in the automatic conclusion.
The same principle is as follows:
{ &088> >000000&088< <000100 "sporadic atrial premature beat" }
{ &086> >000000&086< <000100 "sporadic atrial premature beat" }
{ &086> >000700 'frequent atrial premature beat' }
{ &086 { & 000100&086 [ & 000700 "atrial premature" }
{ &105> >000000&105< <000003 "< occasionally bigeminy" }
{ &039 ═ 000000&299> >000030 "atrial flutter" }
{ &039> >000000&299> >000030 "paroxysmal atrial flutter" }
{ &039> >000000&299> >000030&300> >000000 "(partial short matrix) }
{ &039> >000000&215> >000000&299< <000030 "short atrial flutter" } …
In addition, the analysis template is also used for receiving an input instruction of the display terminal, and the hour scatter diagram, the time scatter diagram, the electrocardiogram and the electrocardiogram diagnosis report are modified correspondingly.
The electrocardiogram diagnosis report generated by the analysis module has the functions of self-defining editing, programmable automatic conclusion function, switching segment diagram display lead quantity and simultaneously applying to all segment diagrams.
The analysis module can analyze a single lead and also can analyze a plurality of or all leads simultaneously; all case templates are synchronously analyzed through the full template instantaneous overlapping function, finally all case overlapping conditions are displayed at a case report terminal, corresponding characteristic parameters in the case templates can be adjusted through template matching adjusting shafts, and classification templates are refined.
The invention also provides a dynamic electrocardiogram analysis intelligent diagnosis method, as shown in fig. 3, comprising the following steps:
step S1, defining a plurality of case templates in the template module according to different symptoms, wherein each case template is provided with a plurality of constant parameter values; the case template at least comprises a sporadic atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an occasional bigeminal template and an occasional trigeminal template.
Step S2, detecting the electrocardio-change of human body through a plurality of leads, transmitting the detected electrocardio-data and the basic information of the detected human body to a database module for storage, carrying out self-defined condition classification retrieval on the electrocardio-data through a case characteristic engine, carrying out multi-condition or fuzzy search retrieval on the electrocardio-data through a case search engine, if the electrocardio-characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, embodying the disease in the diagnosis conclusion, and carrying out batch import or export on the electrocardio-data through a batch import or export function.
Step S3, the analysis module carries out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminates interference leads and no-signal leads, and generates an hour scatter diagram, a time scatter diagram and an electrocardiogram; analyzing all leads or single leads of the electrocardiogram data to obtain analysis parameters of the electrocardiogram data, storing the analysis parameters into different addresses, retrieving variable values obtained by all leads according to parameter relations corresponding to different diseases, comparing and operating each input variable value with a corresponding constant parameter value in each case template, outputting text conclusions of related cases if each operation result in one case template is true, generating an electrocardiogram diagnosis report through the text conclusions, and enabling the electrocardiogram diagnosis report to comprise the case if the analyzed electrocardiogram data meets the parameter conditions of the case templates; and after the analysis module performs comparison operation, obtaining output text conclusions of the case templates, and displaying the output text conclusions of the case templates by overlapping the electrocardiogram diagnosis report, wherein the input sentence of the comparison operation is composed of { input variable value operation symbol constant parameter value output text conclusion }. The input statement of the comparison operation can quickly perform the comparison operation on the data, thereby improving the operation efficiency of the system and shortening the operation time.
The input variable values include at least effective heart rate, total sinus heart rate, percentage sinus heart rate, sinus mean heart rate, fastest sinus heart rate, slowest sinus rate, fastest RR heart rate, slowest RR heart rate, longest RR interval, longest rest RR interval, sinus tachycardia array number, sinus bradycardia array number, total sinus tachycardia duration.
In step S4, the user modifies the hour scattergram, the time scattergram, the electrocardiogram diagnosis report, and the case template through the display terminal.
The electrocardiogram is classified according to heart beat types and is divided into a plurality of case templates, a plurality of input variable values are obtained according to the electrocardiogram data acquired by full leads, and each input variable value is compared with a corresponding constant parameter value in each case template to finally generate an electrocardiogram diagnosis report. The doctor can also modify and edit the diagnosis result on the basis of the intelligent conclusion, so that the diagnosis speed is greatly improved, the labor intensity of the doctor is reduced, the accuracy of the diagnosis result is improved, the phenomenon of omission of the diagnosis result is reduced, the diagnosis result is more accurate and comprehensive, and the overall diagnosis efficiency of the patient is improved.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention. The scope of the invention is defined by the appended claims and their full range of equivalents.
Claims (9)
1. A dynamic electrocardiogram analysis intelligent diagnosis system is characterized by comprising: the system comprises a database module, a template module and an analysis module;
the database module is used for storing the electrocardio data of the human body detected through a plurality of leads and the basic information of the human body to be detected, classifying and storing the electrocardio data according to the basic information of the human body to be detected, performing user-defined condition classification retrieval on the electrocardio data through a case characteristic engine, performing multi-condition or fuzzy search retrieval on the electrocardio data through a case search engine, embodying the disease in a diagnosis conclusion if the electrocardio characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, and performing batch import or export on the electrocardio data through a batch import or export function;
the template module is used for defining a plurality of case templates according to different symptoms, each case template is provided with a plurality of constant parameter values, and the constant parameter values are stored as 16-system numbers;
the analysis module is used for carrying out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminating interference leads and no-signal leads and generating an hour scatter diagram, a time scatter diagram and an electrocardiogram; analyzing all leads or single leads of the electrocardiogram data to obtain analysis parameters of the electrocardiogram data, wherein the analysis parameters at least comprise relative position of QRS waves, heart rate and ST-segment voltage, storing the analysis parameters to different addresses, retrieving variable values obtained by each lead according to parameter relations corresponding to different diseases, comparing each input variable value with a corresponding constant parameter value in each case template for operation, outputting a text conclusion of a related case if each operation result in one case template is true, and generating an electrocardiogram diagnosis report through the text conclusion, wherein the electrocardiogram diagnosis report comprises the case if the analyzed electrocardiogram data meets the parameter conditions of the case template;
in addition, the analysis template is also used for receiving an input instruction of the display terminal and making corresponding modification on the hour scatter diagram, the time scatter diagram, the electrocardiogram and the electrocardiogram diagnosis report;
the analysis module can analyze a single lead and also can analyze a plurality of or all leads simultaneously; all case templates are synchronously analyzed through the full template instantaneous overlapping function, finally all case overlapping conditions are displayed at a case report terminal, corresponding characteristic parameters in the case templates can be adjusted through template matching adjusting shafts, and classification templates are refined.
2. The dynamic electrocardiographic analysis intelligent diagnostic system according to claim 1, wherein: the analysis module carries out lead analysis on the electrocardiographic data of the detected lead to obtain different analysis parameters, then stores the analysis parameters into different addresses, compares input variable values of the different addresses with constant parameter values in the case module, and finally obtains corresponding diagnosis results, wherein the input variable values at least comprise effective heart rate, total sinus heart rate, sinus heart rate percentage, sinus average heart rate, sinus fastest heart rate, sinus slowest heart rate, RR fastest heart rate, RR slowest heart rate, RR interval, longest asystole RR interval, sinus tachycardia array number, sinus bradycardia array number and total duration of sinus tachycardia.
3. The dynamic electrocardiographic analysis intelligent diagnostic system according to claim 1, wherein: the case template at least comprises a sporadic atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an occasional bigeminal template and an occasional trigeminal template.
4. The dynamic electrocardiographic analysis intelligent diagnostic system according to claim 1, wherein: when the analysis module carries out intelligent full-lead analysis, each lead is synchronously analyzed, and the analysis result is classified and stored according to the lead number, wherein the number of the full leads is 12 leads or 18 leads.
5. The dynamic electrocardiographic analysis intelligent diagnostic system according to claim 1, wherein: the electrocardiogram diagnosis report generated by the analysis module has the functions of self-defining editing, programmable automatic conclusion function, switching segment diagram display lead quantity and simultaneously applying to all segment diagrams.
6. An intelligent diagnosis method for dynamic electrocardiogram analysis is characterized by comprising the following steps:
step S1, defining a plurality of case templates in the template module according to different symptoms, wherein each case template is provided with a plurality of constant parameter values;
step S2, detecting the electrocardio change of human body through a plurality of leads, transmitting the detected electrocardio data and the basic information of the detected human body to a database module for storage, carrying out self-defined condition classification retrieval on the electrocardio data through a case characteristic engine, carrying out multi-condition or fuzzy search retrieval on the electrocardio data through a case search engine, if the electrocardio characteristics are comprehensively analyzed to meet the parameter condition of a certain heart disease, embodying the disease in the diagnosis conclusion, and carrying out batch import or export on the electrocardio data through a batch import or export function;
step S3, the analysis module carries out intelligent full-lead analysis on the detected electrocardiogram data, automatically eliminates interference leads and no-signal leads, and generates an hour scatter diagram, a time scatter diagram and an electrocardiogram; analyzing all leads or single leads of the electrocardio data to obtain analysis parameters of the electrocardio data, wherein the analysis parameters at least comprise the relative position of QRS waves, heart rate and ST-stage voltage; storing the analysis parameters into different addresses, retrieving variable values obtained by each lead according to parameter relations corresponding to different diseases, comparing each input variable value with a corresponding constant parameter value in each case template, outputting a text conclusion of a related case if each operation result in one case template is true, and generating an electrocardiogram diagnosis report through the text conclusion, wherein the electrocardiogram diagnosis report comprises the case if the analyzed electrocardiogram data meets the parameter conditions of the case templates;
in step S4, the user modifies the hour scattergram, the time scattergram, the electrocardiogram diagnosis report, and the case template through the display terminal.
7. The intelligent dynamic electrocardiographic analysis diagnosis method according to claim 6, wherein: the input variable values include at least effective heart rate, total sinus heart rate, percentage sinus heart rate, sinus mean heart rate, fastest sinus heart rate, slowest sinus rate, fastest RR heart rate, slowest RR heart rate, longest RR interval, longest rest RR interval, sinus tachycardia array number, sinus bradycardia array number, total sinus tachycardia duration.
8. The intelligent dynamic electrocardiographic analysis diagnosis method according to claim 6, wherein: the case template at least comprises a sporadic atrial premature beat template, a frequent atrial premature beat template, an atrial premature beat template, a paroxysmal atrial flutter template, a short array atrial flutter template, an occasional bigeminal template and an occasional trigeminal template.
9. The intelligent dynamic electrocardiographic analysis diagnosis method according to claim 6, wherein: in step S3, after the analysis module performs comparison and operation, output text conclusions of the plurality of case templates are obtained, and the electrocardiogram diagnosis report displays the output text conclusions of the plurality of case templates in an overlapping manner; the input statement of the comparison operation is composed of { input variable value operand constant parameter value output text conclusion }.
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